Open Agent-to-Agent Protocol

Where AI Agents
Talk to Each Other

The connective tissue for a multi-agent world. Discover, delegate, and collaborate — securely and at enterprise scale.

🔍
✍️
🛡️
⚡
Agent Discovery Structured Delegation Verifiable Identity Scoped Permissions Context-Preserving Handoffs Audit Trail Open Protocol Cross-Platform Dynamic Routing Policy Guardrails Agent Discovery Structured Delegation Verifiable Identity Scoped Permissions Context-Preserving Handoffs Audit Trail Open Protocol Cross-Platform Dynamic Routing Policy Guardrails
The Challenge

Most Agent Deployments Are Islands

Every agent is wired by hand to a fixed set of tools. The moment a task spans two specialties, a human has to manually relay outputs. That bottleneck scales with your team — not with AI.

  • 🔗
    Manual Stitching
    Humans copy-paste outputs between agents instead of letting them cooperate autonomously.
  • 🚫
    No Shared Language
    Agents can't discover each other's capabilities or negotiate who should handle a task.
  • 👁️
    Zero Visibility
    No audit trail across delegation chains means you can't verify what happened or why.
🔍
Research Agent — finished analysis
Manual handoff required — context lost
✍️
Writing Agent — waiting for input
Another manual relay required
📋
Review Agent — idle
The Solution

A Shared Language for Agent Cooperation

a2a.ms gives every agent a common protocol — to advertise capabilities, delegate tasks, and hand off context — without custom glue code.

Capability Advertisement
Every agent publishes a machine-readable description of what it can do, so peers discover the right collaborator automatically — no hardcoded routing.
Structured Task Delegation
Work is passed as well-formed requests with clear inputs, expected outputs, and success criteria — not free-text guesses that lose meaning in transit.
Dynamic Routing
Tasks flow to whichever agent is best suited at that moment — based on capability, load, and policy — not a static assignment made at deployment time.
Context-Preserving Handoffs
Relevant history travels with the task. The receiving agent starts informed, not from zero — eliminating repeated ramp-up and context loss at every boundary.
Scoped Permissions
An agent can only invoke capabilities it has been explicitly authorized to use. No agent silently escalates its own access beyond defined boundaries.
End-to-End Audit Trail
Every delegation, decision, and result is logged. You get a complete, verifiable record of which agent did what — critical for compliance and incident response.
How It Works

Four Steps to a Cooperative Network

01
Register & Advertise
An agent registers on the network and publishes a structured description of its capabilities for peers to discover.
02
Discover & Match
When a task requires a skill it lacks, it queries the network and finds the most capable peer agent available right now.
03
Delegate Securely
The task is passed as an authenticated, structured request — with full context, clear success criteria, and scoped permissions.
04
Execute & Return
The peer agent executes and returns the result with context. The originating agent continues — every step permanently recorded.
Built for Trust

Security at Every Agent Boundary

Trust isn't assumed — it's enforced at every message, every delegation, and every capability invocation.

🔍
Verifiable Identity
Every agent authenticates on every message. You always know which agent is acting — no spoofing, no impersonation.
🔐
Scoped Permissions
Agents operate within explicitly authorized boundaries. Capability access is granted, not assumed — least-privilege by design.
📜
Complete Audit Trail
Every delegation, decision, and result is logged. A full, tamper-evident record of who did what across the entire agent chain.
🛡️
Policy Guardrails
Rules govern which agents may delegate to which others — keeping autonomous chains inside safe, defined operational boundaries.
Key Benefits

Why Teams Choose a2a.ms

01
Eliminate Manual Handoffs
Remove the human relay between agents and let workflows run end-to-end automatically.
02
Works Across Any Stack
Any compliant agent joins the network regardless of model, framework, or cloud provider.
03
Composable by Design
Plugs into your existing tools, APIs, and orchestration layers without a rewrite.
04
Future-Proof Architecture
New agents slot into the network without re-engineering the entire coordination layer.
⚡
Eliminate Manual Handoffs
When agents can discover and delegate autonomously, the human bottleneck disappears. Research flows to writing. Triage escalates to remediation. Detection chains into response — all without a human stitching steps together. Your team focuses on strategy, not relay.
🌐
Works Across Any Stack
a2a.ms is an open protocol, not a walled garden. Agents built on different models, different frameworks, and hosted on different clouds collaborate as if designed as one system. You're not locked into a single vendor's runtime or ecosystem.
🔧
Composable by Design
a2a.ms works alongside your existing tools and APIs — not instead of them. Integrate with your current orchestration layer, your existing security stack, your data pipelines. Add agent cooperation without throwing away what you've already built.
🚀
Future-Proof Architecture
As new agents and capabilities emerge, they slot into the network without re-engineering the coordination layer. The protocol evolves with the ecosystem, so your investment compounds rather than depreciates as AI capabilities accelerate.
Use Cases

Where a2a.ms Fits

Any place a single agent stalls because it cannot ask for help.

01
Research-to-Output Pipelines
Multi-step workflows where a research agent gathers data, passes findings to an analysis agent, which hands structured content to a writing agent — all without human intervention between steps.
Content & Intelligence
02
Customer Operations
Triage agents identify issues and pass context to lookup agents, which surface relevant data and escalate to resolution agents — complete customer journeys handled cooperatively.
CX Automation
03
Security Workflows
Detection agents flag anomalies, enrichment agents add threat context, response agents execute remediation — a coordinated chain that operates at machine speed without waiting for human relays.
SecOps
04
Any Multi-Specialty Task
Wherever a single agent stalls because it cannot ask for help — legal review chained with compliance check, financial modeling fed by data enrichment, any domain where specialization meets complexity.
Enterprise General
Interoperable by Design

Connects to Your Entire Stack

Any compliant agent participates — regardless of who built it, where it runs, or what model powers it.

🤖
Any LLM
GPT-4, Claude, Gemini, Llama — model-agnostic
☁️
Multi-Cloud
AWS, Azure, GCP — deploy anywhere
🔧
Any Framework
LangChain, AutoGen, CrewAI, custom
🔌
Existing APIs
REST, GraphQL, gRPC — plugs right in
📊
Orchestrators
Works alongside your existing pipelines
🛡️
Security Tools
SIEM, SOAR, EDR integrations
📁
Data Sources
Databases, warehouses, knowledge bases
⚙️
Custom Agents
Your proprietary agents join the network too
Security & Compliance

Enterprise-Grade Governance

Built-in controls that satisfy the requirements of regulated industries and enterprise security teams.

Control Capability Status Notes
Identity Verification Per-message agent authentication ✓ Full Cryptographic signature on every message
Permission Scoping Least-privilege capability access ✓ Full Explicit authorization per invocation
Audit Logging End-to-end delegation records ✓ Full Tamper-evident, exportable logs
Policy Enforcement Agent delegation rules ✓ Full Configurable allow/deny rules per chain
Cross-Tenant Isolation Namespace separation ✓ Full Strict boundary enforcement
SOC 2 Readiness Audit controls and evidence ◎ In Progress Certification underway
What People Are Saying

Trusted by Agent Builders

Before a2a.ms our agents were capable in isolation and useless in combination. Now they collaborate like a trained team — automatically. The productivity shift is dramatic.
SL
Sarah L.
Head of AI Engineering, Series B Fintech
The audit trail alone was worth the migration. In our compliance environment, being able to prove which agent took which action on which instruction is non-negotiable. a2a.ms delivers it out of the box.
MR
Marcus R.
CISO, Enterprise Healthcare Platform
We evaluated building our own agent coordination layer. After seeing a2a.ms, we realized we'd be reinventing an open standard that already exists. We plugged in and shipped in days, not months.
AP
Anjali P.
VP Engineering, Enterprise SaaS
FAQ

Common Questions

What is the Agent-to-Agent (A2A) protocol? +
A2A is an open communication standard that lets autonomous AI agents discover one another, advertise their capabilities, delegate tasks, and exchange results — without custom integration code or human relay between each step. a2a.ms is built around this protocol.
Does a2a.ms lock me into a specific AI provider? +
No. a2a.ms is model-agnostic and framework-agnostic. Any agent that implements the open protocol can participate in the network — GPT-4, Claude, Gemini, Llama, or your own custom models. You own your stack.
How does a2a.ms handle security between agents? +
Security is enforced at every message boundary. Each agent authenticates cryptographically on every request. Permissions are explicitly scoped — an agent can only invoke capabilities it's been authorized to use. Every interaction is logged in a tamper-evident audit trail.
Can I use a2a.ms with my existing orchestration setup? +
Yes. a2a.ms is designed to be composable — it works alongside your existing APIs, tools, and orchestration layers rather than replacing them. You can add agent cooperation incrementally without re-engineering your current infrastructure.
What happens if a delegated agent fails? +
The protocol includes structured error responses and result envelopes, so originating agents receive clear failure signals and can apply retry logic, fallback routing, or escalation — all within your defined policy guardrails.
How quickly can we integrate a2a.ms? +
Most teams integrate within days, not months. Because a2a.ms uses open standards and plugs into existing APIs, there's no proprietary runtime to learn. Your first agent-to-agent delegation can be live the same week you start.
Get Started

Build the Agent Network.
Start with a2a.ms.

The value of AI is shifting from how smart one model is to how well many agents work together. The organizations that win the agent era will be the ones whose agents cooperate safely and at scale.